Streamline · 8 hours ago
Sr. Data Engineer- Snowflake, Azure
Streamline is an expert in Enterprise Mobility, Product Engineering, and IT Transformation. They are seeking a Senior Data Engineer to design, build, and optimize data pipelines using Snowflake and Azure services, focusing on production-grade engineering and data quality automation.
ConsultingInformation TechnologyProject Management
Responsibilities
Design, develop, and deploy Azure Functions and broader Azure data services to extract, transform, and load data into Snowflake data models and marts
Implement automated data quality checks, monitoring, and alerting to ensure accuracy, completeness, and timeliness across all pipelines
Optimize workloads to reduce cloud hosting costs, including right-sizing compute, tuning queries, and leveraging efficient storage and caching patterns
Build and maintain ELT/ETL workflows and orchestration to integrate multiple internal and external data sources at scale
Design data pipelines that support both near real-time streaming data ingestion and scheduled batch processing to meet diverse business requirements
Collaborate with engineering and product teams to translate requirements into robust, secure, and highly available data solutions
Qualification
Required
Strong expertise with Azure data stack (e.g., Azure Functions, Azure Data Factory, Event/Service Bus, storage) and Snowflake for analytical workloads
Proven experience designing and operating production data pipelines, including CI/CD, observability, and incident response for data systems
Advanced SQL and performance tuning skills, with experience optimizing transformations and Snowflake queries for cost and speed
Solid programming experience in Python or similar for building reusable ETL components, libraries, and automation
Experience with streaming and batch ingestion patterns (e.g., Kafka, Spark, Databricks) feeding Snowflake
Familiarity with BI and analytics tools (e.g., Power BI, Grafana) consuming Snowflake data models
Background in DevOps practices, including containerization, CI/CD pipelines, and infrastructure-as-code for data platforms
Experience with modern data transformation tools (e.g., dbt) and data observability platforms for monitoring data quality, lineage, and pipeline health
Ability to adapt to a fast-paced and dynamic work environment
Self-motivated and able to work independently with minimal supervision, taking initiative to drive projects forward
Expert-level problem-solving skills with the ability to diagnose complex data pipeline issues and architect innovative solutions
Proven ability to integrate and analyze disparate datasets from multiple sources to deliver high-value insights and drive business impact
Strong problem-solving skills and attention to detail
Proven ability to manage multiple priorities and deadlines
Passionate about staying current with emerging data engineering technologies and best practices, driving innovation to enhance product capabilities and maintain competitive advantage
Experience developing and architecting SaaS platforms with a focus on scalability, multi-tenancy, and cloud-native design patterns
Benefits
A challenging and rewarding role in a dynamic and international environment.
Opportunity to be part of a growing company with a strong commitment to innovation and excellence.
A supportive and collaborative team culture that values personal growth and development.
Competitive compensation and benefits package.
Company
Streamline
Streamline is an advisory firm that specializes in enterprise mobility, product engineering, project management, and IT transformation.
H1B Sponsorship
Streamline has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (7)
2024 (3)
2023 (4)
2022 (13)
2021 (12)
2020 (30)
Funding
Current Stage
Growth StageCompany data provided by crunchbase